Analysis and Visualization of Droplet Digital PCR in R and on the Web
Overview
An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
- Some versions of QuantaSoft add a few lines at the top of amplitude data files, this is now supported (#24)
- Refactor all old dplyr code that used outdated tidy evaluation (#27)
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘shinydisconnect’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 151 (112 internal)includes a package overview page
- Examples that run
- 45%33 run in a plain check · 41 never run
- Exported functions with examples
- 59%
- Documented parameters
- 65%
- Return-value docs
- 49%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 85%
- Median days to close, 50 most recently updated closed issues
- 13
- Median days to close, 50 most recently updated closed PRs
- 3
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/daattali/ddpcr on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
Dependencies
Installing ddpcr adds 88 packages (48 with compiled code, 76 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.16.0Latest
- 1.15.22025-11-08 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.15.12023-04-03 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.152020-06-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.142020-03-23 · diff ↗
- 1.132020-02-28 · diff ↗
- 1.122020-01-13 · diff ↗
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2019-01-03
Show 15 earlier eventsHide 15 earlier events
- 1.112019-01-03 · diff ↗
- archivedRemoved from CRAN2018-12-24check problems were not corrected despite reminders
- 1.92018-05-27 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.82017-06-24 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.62016-11-12 · diff ↗
- 1.52016-08-03 · diff ↗
- 1.42016-06-25 · diff ↗
- 1.3
- RR 3.3.0 released · 2016-05-03
- archivedRemoved from CRAN2016-05-02check problems were not corrected despite reminders
- 1.1.22016-03-17 · diff ↗
- 1.0.12016-02-19
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-02-19
- Total releases
- 16 / 10 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.1.0
- Download size
- 2.8 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ddpcr")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.